Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats
The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project has deployed 194 profiling floats equipped with biogeochemical (BGC) sensors, making it one of the largest contributors to global BGC-Argo. Post-deployment quality control (QC) of float-based oxygen, nitrate, and pH dat...
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ftdoajarticles:oai:doaj.org/article:f0cc993d0f044b3995c032b8754e97c9 2023-05-15T18:25:39+02:00 Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats Tanya L. Maurer Joshua N. Plant Kenneth S. Johnson 2021-08-01T00:00:00Z https://doi.org/10.3389/fmars.2021.683207 https://doaj.org/article/f0cc993d0f044b3995c032b8754e97c9 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fmars.2021.683207/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2021.683207 https://doaj.org/article/f0cc993d0f044b3995c032b8754e97c9 Frontiers in Marine Science, Vol 8 (2021) ocean observation calibration validation profiling float ARGO oxygen Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2021 ftdoajarticles https://doi.org/10.3389/fmars.2021.683207 2022-12-31T07:50:32Z The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project has deployed 194 profiling floats equipped with biogeochemical (BGC) sensors, making it one of the largest contributors to global BGC-Argo. Post-deployment quality control (QC) of float-based oxygen, nitrate, and pH data is a crucial step in the processing and dissemination of such data, as in situ chemical sensors remain in early stages of development. In situ calibration of chemical sensors on profiling floats using atmospheric reanalysis and empirical algorithms can bring accuracy to within 3 μmol O2 kg–1, 0.5 μmol NO3– kg–1, and 0.007 pH units. Routine QC efforts utilizing these methods can be conducted manually through visual inspection of data to assess sensor drifts and offsets, but more automated processes are preferred to support the growing number of BGC floats and reduce subjectivity among delayed-mode operators. Here we present a methodology and accompanying software designed to easily visualize float data against select reference datasets and assess QC adjustments within a quantitative framework. The software is intended for global use and has been used successfully in the post-deployment calibration and QC of over 250 BGC floats, including all floats within the SOCCOM array. Results from validation of the proposed methodology are also presented which help to verify the quality of the data adjustments through time. Article in Journal/Newspaper Southern Ocean Directory of Open Access Journals: DOAJ Articles Southern Ocean Frontiers in Marine Science 8 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
ocean observation calibration validation profiling float ARGO oxygen Science Q General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
ocean observation calibration validation profiling float ARGO oxygen Science Q General. Including nature conservation geographical distribution QH1-199.5 Tanya L. Maurer Joshua N. Plant Kenneth S. Johnson Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats |
topic_facet |
ocean observation calibration validation profiling float ARGO oxygen Science Q General. Including nature conservation geographical distribution QH1-199.5 |
description |
The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project has deployed 194 profiling floats equipped with biogeochemical (BGC) sensors, making it one of the largest contributors to global BGC-Argo. Post-deployment quality control (QC) of float-based oxygen, nitrate, and pH data is a crucial step in the processing and dissemination of such data, as in situ chemical sensors remain in early stages of development. In situ calibration of chemical sensors on profiling floats using atmospheric reanalysis and empirical algorithms can bring accuracy to within 3 μmol O2 kg–1, 0.5 μmol NO3– kg–1, and 0.007 pH units. Routine QC efforts utilizing these methods can be conducted manually through visual inspection of data to assess sensor drifts and offsets, but more automated processes are preferred to support the growing number of BGC floats and reduce subjectivity among delayed-mode operators. Here we present a methodology and accompanying software designed to easily visualize float data against select reference datasets and assess QC adjustments within a quantitative framework. The software is intended for global use and has been used successfully in the post-deployment calibration and QC of over 250 BGC floats, including all floats within the SOCCOM array. Results from validation of the proposed methodology are also presented which help to verify the quality of the data adjustments through time. |
format |
Article in Journal/Newspaper |
author |
Tanya L. Maurer Joshua N. Plant Kenneth S. Johnson |
author_facet |
Tanya L. Maurer Joshua N. Plant Kenneth S. Johnson |
author_sort |
Tanya L. Maurer |
title |
Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats |
title_short |
Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats |
title_full |
Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats |
title_fullStr |
Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats |
title_full_unstemmed |
Delayed-Mode Quality Control of Oxygen, Nitrate, and pH Data on SOCCOM Biogeochemical Profiling Floats |
title_sort |
delayed-mode quality control of oxygen, nitrate, and ph data on soccom biogeochemical profiling floats |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doi.org/10.3389/fmars.2021.683207 https://doaj.org/article/f0cc993d0f044b3995c032b8754e97c9 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Frontiers in Marine Science, Vol 8 (2021) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fmars.2021.683207/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2021.683207 https://doaj.org/article/f0cc993d0f044b3995c032b8754e97c9 |
op_doi |
https://doi.org/10.3389/fmars.2021.683207 |
container_title |
Frontiers in Marine Science |
container_volume |
8 |
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1766207227372240896 |